We are partnering with a leading AI Fintech seeking a Machine Learning Engineer with expertise in AI/ML, banking models, and fraud analytics. You will design predictive models, detect fraud patterns, and collaborate with Risk, Product, and Engineering teams to deliver data-driven solutions.
Responsibilities
Build and deploy machine learning models for credit risk, payments, and fraud detection.
Analyze transactional data to identify fraud patterns and emerging risks.
Perform feature engineering, model training, validation, and monitoring.
Collaborate with cross-functional teams to implement models into production systems.
Ensure all models meet regulatory and compliance standards.
Requirements
Bachelor's or Master's degree in Computer Science or IT
3+ years of experience in machine learning, ideally with a focus on banking or fraud analytics.
Strong skills in Python, SQL, and machine learning tools; experience with GenAI and LLMs is a plus.
Solid understanding of banking products, fraud schemes, and risk modeling techniques.
Hands-on experience with supervised and unsupervised machine learning, applied statistics, and AI methods.
